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AWS Lake Formation vs Amazon Redshift comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 4, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon Redshift
Ranking in Cloud Data Warehouse
9th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
72
Ranking in other categories
Data Warehouse (5th), Database Management Systems (DBMS) (8th)
AWS Lake Formation
Ranking in Cloud Data Warehouse
8th
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 6.9%, down from 7.0% compared to the previous year. The mindshare of AWS Lake Formation is 4.7%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
AWS Lake Formation4.7%
Amazon Redshift6.9%
Other88.4%
Cloud Data Warehouse
 

Featured Reviews

PK
Analyst at Cepstrum(EEE Students Society), IIT Guwahati
Handles large data efficiently but initial setup can be complex
The most valuable features of Amazon Redshift include everything being integrated within Amazon, making it really easy to run queries faster, allowing us to retrieve data as soon as possible compared to other tools. Its friendly functionality connects with all tools linked to Amazon, and the data retrieval is very fast, making it a good warehousing tool. The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly. Scalability is the best feature of Amazon Redshift. Amazon Redshift handles scalability automatically, so we do not need to scale up or down; it is all managed by Redshift.
Ciro Baldim Guerra - PeerSpot reviewer
Sr Analytics Engineer at Itau Unibanco S.A.
Has improved data governance by enabling clear ownership and structured access across teams
In my company, Itaú, we don't utilize all AWS offerings due to rigorous security measures. We operate approximately six to eight months behind other available services. I'm uncertain if gaps exist because of this limitation, though the system functions effectively for us. AWS Lake Formation offers column-level access control for databases, but we haven't implemented this feature either because it hasn't been approved by our compliance, governance, or security areas. In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions. However, I struggle to identify specific improvements needed in AWS Lake Formation.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down."
"The most valuable features of Amazon Redshift include everything being integrated within Amazon, making it really easy to run queries faster, allowing us to retrieve data as soon as possible compared to other tools."
"Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers."
"The product offers good support for the data lake."
"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."
"Amazon Redshift is very fast. It has really good response times. It's very user-friendly."
"Redshift Spectrum is the most valuable feature."
"The solution is easy to set up and use."
"The features and capabilities of AWS Lake Formation that I have found most valuable are that it is really convenient to see all the different data assets that were configured and understand who has and what type of service has or does not have access to those services."
"In the shortest form, what I appreciated about AWS Lake Formation was that the schema definition and data cataloging were quite good."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"A favorite feature of AWS Lake Formation is that it provides us with visibility into who has access to a particular table or database in Glue."
"The most valuable features of AWS Lake Formation were the access model itself, as it allows implementation of filters, Blueprints, and row-level and column-level security to mask data that shouldn't be accessed by certain entities, enabling granular control without exposing PII data."
"There is no doubt that this place exceeded my expectations with its incredible ambiance, attentive service, and mouthwatering menu."
"AWS Lake Formation lets you see all your data and tables on one screen."
"The main benefits that I have seen from using AWS Lake Formation are related to FinOps because you have control of your data and can track your costs since AWS Lake Formation is integrated into a unique platform, which is AWS Cloud Service."
 

Cons

"The only minor issue I faced was that it took a bit longer than expected to change the cluster to have more space or storage."
"It is not easy to deal with queries in Amazon Redshift and see the same data."
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."
"The product could be improved by making it more flexible."
"There might be some limitations from a business intelligence perspective, but nothing we can't find a workaround for."
"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."
"The OLAP slide and dice features need to be improved."
"It takes a lot of time to ingest and update the data."
"It falls short when it comes to more granular access control, such as cell-level or row-level entitlements which is a significant drawback for organizations that require precise control over who can access specific rows of data."
"Information about the pricing, cost, and setup cost of the AWS solutions would be beneficial."
"I would appreciate online support, which I don't have access to in my corporation at the bank, so that is important."
"In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions."
"Rather than creating an additional hundred tools, optimizing a tool to have a centralized location to do governance would be beneficial."
"In our experience what could be improved are not the support, performance or monitoring, but at a managerial level, the very expensive professional services of AWS. This could be an area of improvement for them. It's too expensive to acquire their support."
"In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions."
"Athena can be a bit clunky when writing queries, indicating a potential enhancement point for easier user interaction with query tools such as DataGrip using provided driver JARs."
 

Pricing and Cost Advice

"The cost must be improved."
"Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."
"Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."
"If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
"Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
"The best part about this solution is the cost."
"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
"AWS Lake Formation is a bit expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
10%
Computer Software Company
10%
Media Company
6%
Financial Services Firm
23%
Manufacturing Company
8%
Retailer
7%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise21
Large Enterprise28
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise15
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Amazon Redshift?
The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
What is your experience regarding pricing and costs for AWS Lake Formation?
I don't understand much about the pricing of AWS Lake Formation, but I know how to search for the cost of Glue jobs, and I use the calculator in Amazon. I use a tool to preview the cost based on th...
What needs improvement with AWS Lake Formation?
Regarding areas of AWS Lake Formation that could be improved or enhanced, I prefer not to answer, mainly because I do not believe that I would be the most valuable person to ask, as I have not used...
What is your primary use case for AWS Lake Formation?
My usual use cases for AWS Lake Formation involved securing and governing the data resources that we configured in AWS, but we did not use the analytics or machine learning capabilities specificall...
 

Overview

 

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Find out what your peers are saying about AWS Lake Formation vs. Amazon Redshift and other solutions. Updated: March 2026.
884,192 professionals have used our research since 2012.